Artificial Intelligence

Succeed with AI & ML services on AWS to automate workflows, reduce costs, and scale your infrastructure safely and fast.

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Artificial intelligence enables organizations to automate work, surface insights, and support better decisions across operations, customer experience, and internal teams.

To deliver measurable business value, IDT helps organizations apply AI and machine learning using AWS-native AI services. These solutions are designed and integrated to streamline processes, improve efficiency, and turn data into actionable intelligence without introducing unnecessary complexity.

Leverage artificial intelligence to improve outcomes for your customers, empower your teams, and operate your business more efficiently.

Develop and scale AI solutions that move your business forward

What We Do

Machine learning on AWS is effective when models are treated as operational assets, not experiments. Modern production ML relies on retrieval-augmented generation (RAG) to ground models in enterprise knowledge and on small, domain-tuned language models (SLMs) to improve cost, performance, and control. The focus is on accuracy, efficiency, and long-term operability as models and data evolve.

MACHINE LEARNING

Generative AI on AWS delivers value when applied to specific, well-scoped use cases. IDT builds production-ready AI systems that integrate with existing applications and data environments. Solutions are designed to automate knowledge-driven tasks and support teams reliably at scale.

GENERATIVE AI

MLOps improves the operation of machine learning systems by integrating model development with deployment, monitoring, and retraining processes. Production models remain observable, maintainable, and aligned with real-world performance.

MLOps

Agentic AI applies autonomous decision-making to orchestrate actions across applications, data, and tools. Agents operate with defined goals, context, and constraints to perform multi-step tasks. Behavior remains governed, auditable, and aligned with operational boundaries.

AGENTIC AI

Hybrid AI infrastructure combines cloud-native services with on-prem extensions to support data locality, performance, and regulatory constraints. AI workloads run across managed cloud platforms and dedicated on-prem infrastructure as a single operating model. Long-running and compute-intensive workflows remain reliable, scalable, and cost-efficient.

HYBRID AI INFRASTRUCTURE

What We Do

MLOps

MLOps improves the operation of machine learning systems by integrating model development with deployment, monitoring, and retraining processes. Production models remain observable, maintainable, and aligned with real-world performance.

GENERATIVE AI

Generative AI on AWS delivers value when applied to specific, well-scoped use cases. IDT builds production-ready AI systems that integrate with existing applications and data environments. Solutions are designed to automate knowledge-driven tasks and support teams reliably at scale.

MACHINE LEARNING

Machine learning on AWS is effective when models are treated as operational assets, not experiments. Modern production ML relies on retrieval-augmented generation (RAG) to ground models in enterprise knowledge and on small, domain-tuned language models (SLMs) to improve cost, performance, and control. The focus is on accuracy, efficiency, and long-term operability as models and data evolve.

AGENTIC AI

Agentic AI applies autonomous decision-making to orchestrate actions across applications, data, and tools. Agents operate with defined goals, context, and constraints to perform multi-step tasks. Behavior remains governed, auditable, and aligned with operational boundaries.

HYBRID AI INFRASTRUCTURE

Hybrid AI infrastructure combines cloud-native services with on-prem extensions to support data locality, performance, and regulatory constraints. AI workloads run across managed cloud platforms and dedicated on-prem infrastructure as a single operating model. Long-running and compute-intensive workflows remain reliable, scalable, and cost-efficient.

Our Solutions

Explore our solutions designed to address real business challenges and support scalable, secure growth across your organization.

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Agentic AI Concierge

Customer interactions are often fragmented across websites, forms, and backend systems. Visitors struggle to complete bookings or requests, while teams rely on manual handoffs between sales, support, and operations...

AI-Powered Employee Assistance Chatbot

In today’s competitive landscape, organizations must deliver timely, personalized support to maintain workforce productivity and engagement...

Explore our solutions designed to address real business challenges and support scalable, secure growth across your organization.

Our Solutions

Ai-Powered Employee Assistance Chatbot

Agentic Ai Concierge

How we do

Start from your current business and data reality

IDT works with organizations at different stages of AI adoption. We begin by understanding your existing systems, data, and workflows, then identify where AI can deliver tangible business value without disrupting operations.

01 Build with AWS-native AI services

All AI solutions are designed using AWS-managed AI and machine learning services. This allows us to deliver scalable, secure solutions without requiring custom infrastructure or excessive operational overhead.

02 Integrate AI into real workflows

We focus on AI that fits naturally into how your business operates. Models and AI services are embedded directly into applications, data flows, and processes so teams can benefit from intelligence as part of their day-to-day work.

03 Design AI for production use

AI solutions are built with real-world operation in mind. We emphasize security, access controls, and clear system boundaries so AI capabilities are reliable, auditable, and ready for ongoing use.

04 Enable responsible and scalable adoption

AI is introduced incrementally, allowing organizations to prove value, manage risk, and expand capabilities with confidence. Governance and data boundaries are treated as enablers of adoption - not barriers.

05 How we do

01

IDT works with organizations at different stages of AI adoption. We begin by understanding your existing systems, data, and workflows, then identify where AI can deliver tangible business value without disrupting operations.

Start from your current business and data reality

02

All AI solutions are designed using AWS-managed AI and machine learning services. This allows us to deliver scalable, secure solutions without requiring custom infrastructure or excessive operational overhead.

Build with AWS-native AI services

03

We focus on AI that fits naturally into how your business operates. Models and AI services are embedded directly into applications, data flows, and processes so teams can benefit from intelligence as part of their day-to-day work.

Integrate AI into real workflows

04

AI solutions are built with real-world operation in mind. We emphasize security, access controls, and clear system boundaries so AI capabilities are reliable, auditable, and ready for ongoing use.

Design AI for production use

05

AI is introduced incrementally, allowing organizations to prove value, manage risk, and expand capabilities with confidence. Governance and data boundaries are treated as enablers of adoption - not barriers.